Python Developer – AI/ML – 3+ Years – Gurugram/Noida (Hybrid)

Python Developer – AI/ML – 3+ Years – Gurugram/Noida (Hybrid)

Are you passionate about coding and problem-solving using Python, backed with experience in AI/ML techniques Join a fast-growing, innovative team as a Python Developer, where you will work in a dynamic environment, building cutting-edge solutions in the AI/ML space. This hybrid role offers you the perfect blend of in-office collaboration and work-from-home flexibility. Take your expertise to the next level alongside like-minded professionals in our Technology & Analytics Practice!

Location: Gurugram/Noida (Hybrid)
Your Future Employer: An industry-leading organization dedicated to driving superior business solutions by leveraging advanced technology and analytics. Our client fosters an inclusive culture, values continuous learning, and provides a workspace that promotes creativity, ownership, and professional growth.
Responsibilities

Develop, test, and maintain Python-based applications with a strong focus on AI/ML integration.
Implement machine learning algorithms, APIs, and statistical models to enhance system capabilities.
Collaborate with cross-functional teams to gather and analyze data, identifying opportunities to improve efficiency and build predictive solutions.
Optimize code for scalability, performance, and deployment in a production environment.
Stay current on AI/ML advancements and proactively bring innovative ideas to the table.

Requirements
A minimum of 3 years of professional experience in Python development, with hands-on understanding of machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Proficient in working with big data technologies, libraries, and visualization tools.
Strong command of data preprocessing, feature engineering, and statistical modeling techniques.
Excellent debugging, problem-solving, and code optimization skills.
A Master’s or Bachelor’s degree in a related field such as Computer Science, Engineering, or Mathematics, with a strong focus on AI and machine learning preferred.

Whats in it for you

A competitive salary and comprehensive benefits package.
A hybrid work environment offering flexible work arrangements.
The opportunity to work in one of the fast-growing domains, gaining exposure to AI/ML-driven projects.
A progressive workplace where innovation and diversity are core values.
Access to cutting-edge technology and thought-leadership to foster your professional growth.

Reach Us: If you feel this opportunity is well aligned with your career progression plans, please feel free to reach me with your updated profile at hidden_email.
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Profile Keywords: Python Developer, Machine Learning, Artificial Intelligence, AI/ML, Python Programming, Technology & Analytics Practice, TensorFlow, PyTorch, Scikit-learn, Big Data, Data Science, Gurugram Job, Noida Job, Hybrid Work Model. Python Developer – AI/ML – 3+ Years – Gurugram/Noida (Hybrid)

Are you passionate about coding and problem-solving using Python, backed with experience in AI/ML techniques Join a fast-growing, innovative team as a Python Developer, where you will work in a dynamic environment, building cutting-edge solutions in the AI/ML space. This hybrid role offers you the perfect blend of in-office collaboration and work-from-home flexibility. Take your expertise to the next level alongside like-minded professionals in our Technology & Analytics Practice!

Location: Gurugram/Noida (Hybrid)
Your Future Employer: An industry-leading organization dedicated to driving superior business solutions by leveraging advanced technology and analytics. Our client fosters an inclusive culture, values continuous learning, and provides a workspace that promotes creativity, ownership, and professional growth.
Responsibilities

Develop, test, and maintain Python-based applications with a strong focus on AI/ML integration.
Implement machine learning algorithms, APIs, and statistical models to enhance system capabilities.
Collaborate with cross-functional teams to gather and analyze data, identifying opportunities to improve efficiency and build predictiv

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